NVIDIA is shifting its AI infrastructure strategy from raw power to smarter, more efficient designs. Their innovations in low-precision formats, software optimizations, and sovereign AI hardware point...
NVIDIA's NVFP4 low-precision format significantly enhances AI model training and inference by boosting throughput and energy efficiency without sacrificing accuracy. This analysis explores NVFP4's tec...
NVIDIA’s NVFP4 low-precision training and support for long-context models, combined with OpenAI and Oracle’s Project Stargate, are driving a new era in AI infrastructure. This shift emphasizes integra...
Babcock & Wilcox will lead the engineering and construction of a $2.4 billion power plant providing 1.2 GW of dedicated electricity to support large-scale AI data centers in the U.S. This project addr...
In 2026, AI infrastructure is reshaped by NVIDIA's NVFP4 low-precision format, the rise of edge and micro data centers, and enhanced security models for agentic AI. This analysis explores how these co...
Integrated security and connectivity features in AI chips are advancing rapidly, responding to complex workloads and edge deployment needs. These trends are converging to create more robust, flexible ...
The Mesh argues that rising CPU demand driven by agentic AI requires a strategic shift in AI infrastructure priorities. While GPUs remain vital, CPUs now play an indispensable role in managing complex...
In 2026, AI chip design is evolving through integrated innovations in on-chip security, low-precision training formats like NVIDIA's NVFP4, and dynamic runtime cost optimization via coding agents. The...
Marvell’s surge in AI interconnect chip demand and NVIDIA’s NVFP4 low-precision format breakthrough highlight a growing synergy in AI infrastructure. Together, these advances show how hardware and mod...
The Mesh argues that as AI data centers rapidly expand, merely paying for electricity is insufficient to address the resulting grid strain and environmental impact. The opinion piece calls for integra...